Dr. Agnieszka (Aga) Palalas October 2013 Speech Technologies and - - PowerPoint PPT Presentation

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Dr. Agnieszka (Aga) Palalas October 2013 Speech Technologies and - - PowerPoint PPT Presentation

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Speech T echnologies and Their Applications in Mobile Learning Dr. Agnieszka (Aga) Palalas October 2013 Speech Technologies and Their Applications in Mobile Learning Outcome : To identify how selected speech technologies can be utilized to

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Speech T echnologies and Their Applications in Mobile Learning

  • Dr. Agnieszka (Aga) Palalas

October 2013

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Speech Technologies and Their Applications in Mobile Learning

Outcome:

To identify how selected speech technologies can be utilized to enhance teaching and learning using mobile devices.

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Speech Technologies

  • 1. T

ext-to-speech (TTS)

  • 2. Automatic speech recognition

(ASR) - speech-to-text

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  • Mobile audio search engine
  • Voice command and control
  • Dictation
  • Note-taking
  • Transcription of voicemails
  • Voice typing
  • Voice translation
  • Accessibility and inclusivity

Speech Recognition

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Text-to-Speech

  • Reading back emails, messages, posts, notes
  • Books read to the user (Kindle)
  • Voice command and control
  • Audio dictionaries
  • Accessibility and inclusivity
  • MALL and literacy (Roux et al, 2010)
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Mobile-Assisted Language Learning

  • Mobile-Assisted Language Learning

– reading and speaking – dictation – communication, facilitation and feedback – pronunciation practice (speech verification) – speech analysis and language learning software (Godwin-Jones, 2009) – vocabulary practice (Kumar et al, 2012)

  • Phonetics and phonology (Linguistics)

– speech signal processing (DSP) – patterns recognition (AI)

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Other Advantages

  • Voice-based tools - assistive technology
  • Individualized attention
  • Enforced feedback
  • Learner-centered: own pace, preferences,

autonomy

  • Repetition and rehearsal
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Voice Recognition Mobile Apps Examples

  • ChaCha Answers
  • Google Mobile Apps
  • Vlingo
  • DriveSafe.ly Pro
  • Dragon Downloadable Apps
  • Jibbigo Voice Translation
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Limitations

  • Limited success with spontaneous,

natural foreign accented speech

  • T

ype of mobile device

  • Usability: tools
  • Usability: context
  • Usability: data consumption
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Thank you!

  • Dr. Agnieszka Palalas

aga@epluslearning.com LinkedIn: http://www.linkedin.com/in/apalalas Presentations: http://www.slideshare.net/agaiza Publications: http://athabascau.academia.edu/apalalas

References:

  • Godwin-Jones, R. (2009). Emerging technologies: Speech tools and technologies. Language Learning & Technology, 13(3),

4-11.

  • Kumar, A., Reddy, P., Tewari, A., Agrawal, R., & Kam, M. (2012, May). Improving literacy in developing countries using

speech recognition-supported games on mobile devices. In Proceedings of the 2012 ACM annual conference on Human Factors in Computing Systems (pp. 1149-1158). ACM.

  • Roux, J., Scholtz, P., Klop, D., Povlsen, C., Jongejan, B., & Magnusdottir, A. (2010, May). Incorporating Speech Synthesis in

the Development of a Mobile Platform for e-learning. In LREC.